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The Bank Lending Channel: A FAVAR Analysis

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  • CHETAN DAVE
  • SCOTT J. DRESSLER
  • LEI ZHANG

Abstract

We examine the bank lending channel (BLC) of monetary transmission in a factor‐augmented vector autoregression (FAVAR). A FAVAR exploits large numbers of macro‐economic indicators and allows us to consider an alternative identification of monetary shocks and analyze the lending response of banks at the aggregate and individual levels. We find that the existence of the BLC is more prevalent than previously thought using aggregated lending data, while the lending response of individual banks are driven more by specific innovations than monetary shocks. Nonetheless, the average individual bank response to a monetary shock is consistent with the existence of a BLC.

Suggested Citation

  • Chetan Dave & Scott J. Dressler & Lei Zhang, 2013. "The Bank Lending Channel: A FAVAR Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(8), pages 1705-1720, December.
    • Handle: RePEc:wly:jmoncb:v:45:y:2013:i:8:p:1705-1720
    DOI: 10.1111/jmcb.12067
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    Cited by:

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    4. Chetan Dave & Scott J. Dressler & Lei Zhang, 2020. "Bank Lending, Monetary Policy Transmission, and Interest on Excess Reserves: a FAVAR Analysis," Villanova School of Business Department of Economics and Statistics Working Paper Series 44, Villanova School of Business Department of Economics and Statistics.
    5. Jean-Stéphane Mésonnier & Dalibor Stevanovic, 2012. "Bank Leverage Shocks and the Macroeconomy: a New Look in a Data-Rich Environment," CIRANO Working Papers 2012s-23, CIRANO.
    6. Ratti, Ronald A. & Vespignani, Joaquin L., 2016. "Oil prices and global factor macroeconomic variables," Energy Economics, Elsevier, vol. 59(C), pages 198-212.
    7. Maurin, Laurent & Andersson, Malin & Rusinova, Desislava, 2021. "Market finance as a spare tyre? Corporate investment and access to bank credit in Europe," EIB Working Papers 2021/09, European Investment Bank (EIB).
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    10. Budnik, Katarzyna & Bochmann, Paul, 2017. "Capital and liquidity buffers and the resilience of the banking system in the euro area," Working Paper Series 2120, European Central Bank.
    11. Claudia M. Buch & Sandra Eickmeier & Esteban Prieto, 2014. "Macroeconomic Factors and Microlevel Bank Behavior," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 715-751, June.
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    13. Dedu, Vasile & Stoica, Tiberiu, 2014. "The Impact of Monetaru Policy on the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 71-86, June.
    14. Ratti, Ronald A. & Vespignani, Joaquin L., 2014. "Oil prices and the economy: A global perspective," MPRA Paper 59407, University Library of Munich, Germany.
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    16. Fredrik N. G. Andersson & Katarzyna Burzynska & Sonja Opper, 2016. "Lending for growth? A Granger causality analysis of China’s finance–growth nexus," Empirical Economics, Springer, vol. 51(3), pages 897-920, November.
    17. Xiong, Qiyue, 2013. "The role of the bank lending channel and impacts of stricter capital requirements on the Chinese banking industry," BOFIT Discussion Papers 7/2013, Bank of Finland Institute for Emerging Economies (BOFIT).
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    19. Norhana Endut & James Morley & Pao-Lin Tien, 2018. "The changing transmission mechanism of US monetary policy," Empirical Economics, Springer, vol. 54(3), pages 959-987, May.
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    More about this item

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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